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#!/usr/bin/env sh
curl "http://vlib.sub.uni-goettingen.de/pazpar2/search.pz2?command=init&service=vlib" | grep init | sed -e 's/.*<session>//' | sed -e 's/<\/session>.*//' > /tmp/sessionID ; curl "http://vlib.sub.uni-goettingen.de/pazpar2/search.pz2?command=search&query=gaga&session=`cat /tmp/sessionID`" ; curl "http://vlib.sub.uni-goettingen.de/pazpar2/search.pz2?command=show&session=`cat /tmp/sessionID`" ; curl "http://vlib.sub.uni-goettingen.de/pazpar2/search.pz2?command=show&session=`cat /tmp/sessionID`" ; curl "http://vlib.sub.uni-goettingen.de/pazpar2/search.pz2?command=show&session=`cat /tmp/sessionID`" ; curl "http://vlib.sub.uni-goettingen.de/pazpar2/search.pz2?command=show&session=`cat /tmp/sessionID`" ; curl "http://vlib.sub.uni-goettingen.de/pazpar2/search.pz2?command=show&session=`cat /tmp/sessionID`" ; curl "http://vlib.sub.uni-goettingen.de/pazpar2/search.pz2?command=show&session=`cat /tmp/sessionID`" ; curl "http://vlib.sub.uni-goettingen.de/pazpar2/search.pz2?command=show&session=`cat /tmp/se

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#! /bin/bash
# Description: show dependency tree
# Author: damphat

if [ $# -lt 1 ]; then
	echo 'Usage: apt-rdepends-tree [-r] <package>'
	echo 'Required packages: apt-rdepends'
	exit 1  
fi

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Some useful Python one-liners taken from http://www.reddit.com/r/Python/comments/fofan/suggestion_for_a_python_blogger_figure_out_what/

All modules listed are part of the standard library and should work with Python 2.6+

How to use:

    $ python -m [module] [arguments]

calendar - does default to displaying a yearly calendar, but it has a bunch of options (args are year or year month, options are HTML output, calendar locale, encoding, and some type-specific stuff, see python -m calendar -h)
cgi, dumps a bunch of information as HTML to stdout

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Cheatsheet: pyenv, virtualenvwrapper, and pip

Installation (for Mac OS)

Install pyenv with brew

brew update
brew install pyenv

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#!/usr/bin/env bash
# mostly from http://word.bitly.com/post/31921713978/static-analysis
function cfmt {
  if [[ $# -ne 1 ]]; then
    echo "Usage: cfmt <file>"
  else
    astyle \
      --style=1tbs \
      --lineend=linux \
      --convert-tabs \

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   model_G = nn.Sequential()
   model_G:add(nn.JoinTable(2, 2))
   model_G:add(cudnn.SpatialConvolutionUpsample(3+1, 64, 7, 7, 1, 1)):add(cudnn.ReLU(true))
   model_G:add(nn.SpatialBatchNormalization(64, nil, nil, false))
   model_G:add(cudnn.SpatialConvolutionUpsample(64, 368, 7, 7, 1, 4)):add(cudnn.ReLU(true))
   model_G:add(nn.SpatialBatchNormalization(368, nil, nil, false))
   model_G:add(nn.SpatialDropout(0.5))
   model_G:add(cudnn.SpatialConvolutionUpsample(368, 128, 7, 7, 1, 4)):add(cudnn.ReLU(true))
   model_G:add(nn.SpatialBatchNormalization(128, nil, nil, false))
   model_G:add(nn.FeatureLPPooling(2,2,2,true))

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Do the whole thing:

PYTHONPATH='.' luigi --module small Small --local-scheduler

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#!/usr/bin/env python
from sys import stdin, stdout
import csv

rdr = csv.reader(stdin, delimiter='\t')
wrt = csv.writer(stdout, delimiter='\t')

vals = []
rows = []
for row in rdr: